Overview
Join to apply for the Databricks Data Engineer - Manager - Consulting - Location Open role at EY
Location: Anywhere in Country
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Technology – Data and Decision Science – Data Engineering – Manager
We are looking for a dynamic and experienced Manager of Data Engineering to lead our team in designing and implementing complex cloud analytics solutions with a strong focus on Databricks. The ideal candidate will possess deep technical expertise in data architecture, cloud technologies, and analytics, along with exceptional leadership and client management skills.
The opportunity
In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that business requirements are translated into effective technical solutions.
Key Responsibilities
- Understanding and analyzing business requirements to translate them into technical requirements.
- Designing, building, and operating scalable data architecture and modeling solutions.
- Staying up to date with the latest trends and emerging technologies to maintain a competitive edge.
Responsibilities (continued)
- Leading workstream delivery and ensuring quality in all processes.
- Engaging with clients daily, actively participating in working sessions, and identifying opportunities for additional services.
- Implementing resource plans and budgets while managing engagement economics.
Travel may be required regularly based on client needs.
Skills and attributes for success
- Lead the design and development of scalable data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP).
- Oversee the architecture of complex cloud analytics solutions, ensuring alignment with business objectives and best practices.
- Manage and mentor a team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement.
- Collaborate with clients to understand their analytics needs and deliver tailored solutions that drive business value.
- Ensure the quality, integrity, and security of data throughout the data lifecycle, implementing best practices in data governance.
- Drive end-to-end data pipeline development, including data ingestion, transformation, and storage, leveraging Databricks and other cloud services.
- Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts and project progress.
- Manage client relationships and expectations, ensuring high levels of satisfaction and engagement.
- Stay abreast of the latest trends and technologies in data engineering, cloud computing, and analytics.
- Strong analytical and problem-solving abilities.
- Excellent communication skills, with the ability to convey complex information clearly.
- Proven experience in managing and delivering projects effectively.
- Ability to build and manage relationships with clients and stakeholders.
Qualifications
- Bachelor’s degree in computer science, Engineering, or a related field required; Master’s degree preferred.
- Typically, no less than 4 - 6 years relevant experience in data engineering, with a focus on cloud data solutions and analytics.
- Proven expertise in Databricks and experience with Spark for big data processing.
- Strong background in data architecture and design, with experience in building complex cloud analytics solutions.
- Experience in leading and managing teams, with a focus on mentoring and developing talent.
- Strong programming skills in languages such as Python, Scala, or SQL.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
- Strong communication and interpersonal skills, with a focus on client management.
Managerial Expertise
- Strategic Leadership: Ability to align data engineering initiatives with organizational goals and drive strategic vision.
- Project Management: Experience in managing multiple projects and teams, ensuring timely delivery and adherence to project scope.
- Stakeholder Engagement: Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively.
- Change Management: Skills in guiding clients through change processes related to data transformation and technology adoption.
- Risk Management: Ability to identify potential risks in data projects and develop mitigation strategies.
- Technical Leadership: Experience in leading technical discussions and making architectural decisions that impact project outcomes.
- Documentation and Reporting: Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients.
Large-Scale Implementation Programs
- Enterprise Data Lake Implementation: Led the design and deployment of a cloud-based data lake solution for a Fortune 500 retail client, integrating data from multiple sources to enable advanced analytics and reporting capabilities.
- Real-Time Analytics Platform: Managed the development of a real-time analytics platform using Databricks for a financial services organization, enabling real-time fraud detection and risk assessment through streaming data ingestion and processing.
- Data Warehouse Modernization: Oversaw the modernization of a legacy data warehouse to a cloud-native architecture for a healthcare provider, implementing ETL processes with Databricks and improving data accessibility for analytics and reporting.
Ideally, you’ll also have
- Experience with advanced data analytics tools and techniques.
- Familiarity with machine learning concepts and applications.
- Knowledge of industry trends and best practices in data engineering.
- Familiarity with cloud platforms (AWS, Azure, GCP) and their data services.
- Knowledge of data governance and compliance standards.
- Experience with machine learning frameworks and tools.
What we look for
We seek individuals who are not only technically proficient but also possess the qualities of top performers, including a strong sense of collaboration, adaptability, and a passion for continuous learning. If you are driven by results and have a desire to make a meaningful impact, we want to hear from you.
EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
What We Offer You
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams.
- Comprehensive compensation and benefits package; base salary ranges: US-wide $125,500 to $230,200. New York City Metro Area, WA, and CA (excluding Sacramento) ranges: $150,700 to $261,600. Salaries determined by education, experience, knowledge, skills, and geography. Total Rewards include medical and dental, pension and 401(k), and various paid time off options.
- Hybrid model: most client-serving roles are expected to work in person 40-60% of the time over engagements.
- Flexible vacation policy; time off for EY holidays, breaks, Personal/Family Care, and other leaves as needed to support well-being.
Are you ready to shape your future with confidence? Apply today. EY accepts applications on an ongoing basis. For those living in California, please click here for additional information.
EY focuses on equal employment opportunities and accepts applicants regardless of race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or other legally protected statuses.
EY is committed to providing reasonable accommodations to qualified individuals with disabilities, including veterans with disabilities. If you need assistance applying online or require an accommodation during any part of the application process, please call 1-800-EY-HELP3 or email the EY Talent Shared Services Team.
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